Alternatives and similar repositories for nlprot

Users that are interested in nlprot are comparing it to the libraries listed below

• PaccMann / paccmann_proteomics
  PaccMann models for protein language modeling
  ☆43Updated 4 years ago
• nstrodt / UDSMProt
  Protein sequence classification with self-supervised pretraining
  ☆82Updated 4 years ago
• HannesStark / protein-localization
  Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of p…
  ☆75Updated 2 years ago
• mheinzinger / SeqVec
  Modelling the Language of Life - Deep Learning Protein Sequences
  ☆75Updated 5 years ago
• tadorfer / protlearn
  A Python package for extracting protein sequence features
  ☆62Updated 3 years ago
• yarongef / DistilProtBert
  DistilProtBert implementation, a distilled version of ProtBert model.
  ☆15Updated 3 years ago
• stamakro / GCN-for-Structure-and-Function
  Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"
  ☆41Updated 2 years ago
• kiharalab / GNN_DOVE
  Code for "Protein Docking Model Evaluation by Graph Neural Networks"
  ☆59Updated 2 years ago
• aqlaboratory / hsm
  Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."
  ☆71Updated last year
• kansil / PROBE
  Trainable representation analysis study repository
  ☆44Updated 3 years ago
• amyxlu / CPCProt
  Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.
  ☆30Updated 6 months ago
• alchemab / parapred-pytorch
  PyTorch implementation of Parapred (Liberis et al., 2018) with Paratyping (Richardson et al., 2021)
  ☆20Updated 2 years ago
• BioinfoMachineLearning / DeepInteract
  A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)
  ☆64Updated 3 years ago
• MachineLearningLifeScience / meaningful-protein-representations
  ☆110Updated 3 years ago
• zswitten / Antimicrobial-Peptides
  Collecting AMP MIC data from different sources, then running a GAN to output promising sequences
  ☆86Updated last year
• alexarnimueller / modlAMP
  Python package for peptide sequence generation, peptide descriptor calculation and sequence analysis.
  ☆60Updated 10 months ago
• Rostlab / bindPredict
  Prediction of binding residues for metal ions, nucleic acids, and small molecules.
  ☆34Updated 4 months ago
• tbepler / prose
  Multi-task and masked language model-based protein sequence embedding models.
  ☆104Updated 4 years ago
• cansyl / DEEPScreen
  DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
  ☆115Updated last year
• eliberis / parapred
  Paratope Prediction using Deep Learning
  ☆61Updated 2 years ago
• IBM / fold2seq
  Code for Fold2Seq paper from ICML 2021
  ☆50Updated 3 years ago
• rxn4chemistry / biocatalysis-model
  RXN for biochemical reactions
  ☆73Updated 3 years ago
• RosettaCommons / trRosetta2
  Repository for publicly available deep learning models developed in Rosetta community
  ☆121Updated 4 years ago
• psipred / protein-vae
  Variational autoencoder for protein sequences - add metal binding sites and generate sequences for novel topologies
  ☆94Updated 2 years ago
• RafsanjaniHub / PyFeat
  A Python-based Effective Feature Generation Tool from DNA, RNA, and Protein Sequences
  ☆97Updated 3 years ago
• alex-hh / deep-protein-generation
  ☆60Updated 3 years ago
• kiharalab / DOVE
  A Deep-learning based dOcking decoy eValuation mEthod
  ☆57Updated 2 years ago
• HarveyYan / RNAonGraph
  A repository for neural representational learning of RNA secondary structures
  ☆32Updated 5 years ago
• psipred / FFPredGAN
  Improving protein function prediction with synthetic feature samples created by generative adversarial networks
  ☆22Updated 5 years ago
• aqlaboratory / rgn2
  ☆109Updated 2 years ago